AI-Powered Email to Jira Ticket Creation with Llama 3.2

Manually turning email requests into Jira tickets can be slow and error-prone, especially when dealing with multiple teams or incoming tasks throughout the day. This workflow solves that by using AI to read incoming emails, understand what needs to be done, and create Jira issues automatically, including subtasks when needed.

• No more manual Jira updates – Tasks are created instantly from email.
• Better accuracy – AI reads and interprets requests, reducing miscommunication.
• Subtasks are handled – Complex requests get broken down into subtasks automatically.
• Saves time – Cuts out repetitive admin work and speeds up ticket creation.
• Keeps everything organized – All tasks are logged in Jira with proper structure and formatting.

If you want to know more about this workflow, visit here: Official Workflow Page

• Email Check – The workflow monitors a Gmail inbox for new task-related messages.
• Fetch Content – It pulls the full body of each email to capture all the details.
• AI Analysis – A language model processes the message and returns a structured summary in JSON format.
• Parse Output – The main task and subtasks are extracted from the AI response.
• Create Jira Issue – A main issue is created in Jira using the parsed data.
• Create Subtasks – If subtasks are included, they’re created automatically under the main ticket.

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